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ClueR: Cluster Evaluation
CLUster Evaluation (CLUE) is a computational method for identifying optimal number of clusters in a given time-course dataset clustered by cmeans or kmeans algorithms and subsequently identify key kinases or pathways from each cluster. Its implementation in R is called ClueR. See README on <https://github.com/PYangLab/ClueR> for more details. P Yang et al. (2015) <doi:10.1371/journal.pcbi.1004403>.
Getting started
Browse package contents
Package details |
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| Author | Pengyi Yang |
| Maintainer | Pengyi Yang <yangpy7@gmail.com> |
| License | GPL-3 |
| Version | 1.4.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the ClueR package in your browser
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